Report updated Jun 23, 2026
Userfeel
For product teams, agencies, and e-commerce brands requiring continuous user research.
Userfeel is a struggling utilities app that is available. With a 2.9/5 rating from 2.1K reviews, it struggles with user retention. Users particularly appreciate teenagers find the platform provides a viable way to earn extra money through testing, though aggressive data permission requests for contacts and photos trigger significant privacy and security concerns remains a common concern.
What is Userfeel?
Userfeel is a remote usability testing platform that records screen and voice data from testers for product teams and agencies.
Users hire Userfeel to gain qualitative insights into website performance, while testers use the app to earn income through participation.
Current Momentum
v4.1 · 1mo ago
Maintenance- Added multi-select screener questions support.
- Last major update Mar 2026.
Active Nemesis
Fragmented niche
No dominant direct rival identified yet — see Other Rivals below.
Other Rivals
7-Day Rank Pulse 🇺🇸
UtilitiesNo ranking data
Rating Pulse 🇺🇸
Recent User Mood
What makes this app unique?
What Does It Look Like?
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What Are The Key Features?
Access to 7 million human-verified testers across 40+ languages
Automated summary and sentiment analysis of recorded user sessions
Records screen and voice of testers performing tasks on websites and apps
How much does it cost?
- Silver tier for consistent research workflows
- Gold tier for scaling teams with AI-assisted analysis
- Custom Enterprise tier for tailored setups
Subscription model anchored in continuous research needs rather than one-off projects.
Who Built It?
Enrichment in progress
Publisher profile available very soon
What other apps does Userfeel make?
What do users think recently?
Low confidence · Latest 61 of 90 total reviews analyzed · Based on 90 reviews. Signal may be noisy.
How did the latest release land?
What is the recent mood?
Recent user voice shows a upset sentiment. Users appreciate teenagers find the platform provides a viable way to earn extra money through testing, but report aggressive data permission requests for contacts and photos trigger significant privacy and security concerns and systemic lack of available tests leaves users feeling deceived after completing initial profile setups.
What Users Love
What Frustrates Users
View the full user-sentiment analysis
Mood gauge, ratings & review-volume history, every praise / complaint / request, and sentiment over time.
What is the competitive landscape for Userfeel?
Where is it available?
Localized markets (1)
How's The Utilities Market?
Market outlook for this category
Available very soon
Which niche is Userfeel in?
to record remote website usability tests
Explore the full Usability Testing Recorders niche
Every app in this space — 1 tracked, the niche's live rankings, and Marlvel's editorial take on the job-to-be-done.
The rivals identified
Same space(6)
Pocket competes by offering advanced AI-assisted documentation and synthesis, which threatens the manual analysis workflows inherent in Userfeel.
Differentiators
- Generates AI-powered mind maps from recorded sessions, providing a visual synthesis of user feedback patterns.
- Utilizes deep hardware-software integration to ensure superior recording quality and real-time multi-language transcription capabilities.
It serves as a functional alternative for testers who prioritize high-quality audio documentation and transcription during usability sessions.
Differentiators
- Includes built-in transcription services that significantly reduce the time required to process raw usability session audio.
- Provides a more mature, business-oriented interface that appeals to professional researchers needing reliable, long-form recording tools.
This app overlaps with Userfeel's core functionality of recording user sessions, focusing on high-fidelity audio capture and post-recording manipulation.
Differentiators
- Offers a comprehensive audio editing suite that allows for professional-grade sound refinement post-recording.
- Features robust cloud backup and synchronization capabilities that ensure session data is never lost across devices.
Loop11 competes directly in the professional usability testing space by providing specialized tools for remote user feedback and website performance analysis.
Differentiators
- Leverages AI browser agents to automate complex user testing workflows that Userfeel currently handles manually.
- Provides advanced AI-driven insights that synthesize qualitative user feedback into actionable product development data points.
This app overlaps with Userfeel by serving as a functional utility for capturing high-quality audio sessions during remote testing tasks.
While niche, this app competes for the same mobile-first multimedia capture utility space used by testers to document visual feedback.
New entrants(2)
This app enters the space by bundling high-quality recording with modern AI summarization, directly challenging the utility of basic session recorders.
Differentiators
- Automatically generates smart AI summaries of recordings, potentially replacing manual note-taking during usability test reviews.
This newcomer threatens Userfeel's data processing layer by offering on-device AI transcription that prioritizes privacy and speed.
Differentiators
- Performs all transcription on-device, offering a privacy-first alternative for sensitive usability testing sessions.
Compare Userfeel against every rival
All rivals in one side-by-side table — identity, store metrics, ratings & sentiment, and strategic intel — plus a head-to-head page for each.
The outtake for Userfeel
Strengths to defend, gaps to attack
Core Strengths
- 7-million-tester panel functions as a B2B distribution barrier for enterprise research contracts.
- AI-assisted session analysis creates a premium-tier revenue gate for scaling product teams.
Critical Frictions
- 2.87 Android rating indicates systemic instability and poor user trust.
- Aggressive permission requests trigger high-frequency privacy complaints in user reviews.
Growth Levers
- Privacy-first, on-device transcription could differentiate the app from cloud-based competitors.
Market Threats
- AI-native competitors like Pocket and Utterly are automating manual analysis workflows.
What are the next best moves?
Audit data permission requests because privacy complaints are the top sentiment drag → increase user trust.
Aggressive permission requests are the #1 complaint theme in user sentiment data.
Trade-off: Pause the AI-assisted analysis feature expansion — privacy remediation is a prerequisite for user retention.
Tune test-matching algorithm because zero-test availability is the primary driver of user churn → improve tester retention.
Users report waiting months without receiving a single test invitation.
Trade-off: Deprioritize new UI polish tasks — algorithm reliability is the core product value.
A counter-intuitive read
The platform's massive tester panel is a liability, not a strength, because the inability to provide consistent work to those testers creates a permanent, vocal, and negative sentiment loop.
Feature Gaps vs Competitors
- On-device transcription (available in Utterly but absent here)
- AI-powered mind map generation (available in Pocket but absent here)
Key Takeaways
Userfeel holds a strong B2B position through its massive tester panel, but the mobile app's privacy-invasive design and lack of test availability erode the user base, so the PM must prioritize transparency and matching accuracy to prevent total churn.
Where Is It Heading?
Declining
The usability testing market is shifting toward AI-native automation and privacy-first data processing, leaving Userfeel's manual-heavy, permission-intensive model exposed. Unless the platform pivots to address the trust deficit and test-matching reliability, it will continue to lose ground to competitors that offer faster, more transparent research workflows.
High-frequency privacy complaints regarding mandatory permission grants drive a severe trust deficit, which compounds the existing rating drag on Android.
Systemic lack of test availability leads to user frustration and churn, signaling that the current matching algorithm fails to meet tester expectations.